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Python Data Scientist Jobs in Detroit, MI (NOW HIRING)

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven ... Strong programming skills in Python, R, or SAS for modeling and data analysis * Advanced SQL ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science (e.g., Python, R). Skills Preferred: • Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). • Experience with specific machine learning ...

Scalence L.L.C.

Data Product Manager

Dearborn, MI · On-site

... Science, Analytics, or a related field. • Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. • Familiarity with SQL, Python, data ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Detroit, MI

Python Data Scientist information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do python data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for python data scientist in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Detroit, MI? For Python Data Scientist jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Detroit, MI look for? The top searched job categories for Python Data Scientist jobs in Detroit, MI are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Detroit, MI as of June 2026, with employment types broken down into 54% Full Time, 33% Part Time, and 13% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.

Lead Data Scientist

Conclusive Marketing

Detroit, MI

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.

The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value.

What you'll do:

  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions

  • Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support

  • Translate client goals into clear modeling strategies, project plans, and deliverables

  • Guide the development of production-level model pipelines using tools such as Databricks and Azure ML

  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications

  • Monitor and improve model performance, ensuring high standards for reliability and business relevance

  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format

  • Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture

  • Promote best practices in model governance, data ethics, and responsible AI

What you need:

  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling

  • Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution

  • Strong programming skills in Python, R, or SAS for modeling and data analysis

  • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)

  • Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred

  • Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus

  • Expertise in regression, classification, clustering, A/B testing, and audience segmentation

  • Proficiency with Tableau, Power BI, and Excel for data visualization and communication

  • Strong communication skills and the ability to translate complex technical findings into business insight

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)

  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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